He Wang

1.4k citations
59 papers · 867 · h-index 15

Impact in

Papers in

He Wang

53 papers receiving 850 citations

Peers

He Wang
Comparison fields: 5 of 91
  • Management Information Systems 331
  • Management Science and Operations Research 295
  • Marketing 192
  • Strategy and Management 195
  • Industrial and Manufacturing Engineering 72
Replace Biying Shou with:
Biying Shou Hong Kong
Sungjune Park United States
Gila E. Fruchter Israel
Renqian Zhang China
Omar Besbes United States
Wai-Ki Ching Hong Kong
Jeremy D. Ezell United States
Rajbir Kaur India
He Wang relative to Biying Shou Hong Kong Biying Shou's profile →
Citations per field
00.5×2.9×
Biying Shou · 1×
Citations per year

Countries citing papers authored by He Wang

Since Specialization
Citations

This map shows the geographic impact of He Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by He Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Wang more than expected).

Fields of papers citing papers by He Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by He Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by He Wang. The network helps show where He Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside He Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with He Wang Line = papers co-authored together He Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018171
2 2017112
3 202056
4 201955
5 201448
6 201537
7 202232
8 202129
9 201929
10 202128
11 202023
12 201720
13 199319
14 202216
15 202114
16 202414
17 202212
18 201312
19 201911
20 202110

About He Wang

He Wang is a scholar working on Management Science and Operations Research, Management Information Systems, Automotive Engineering, Artificial Intelligence and Economics and Econometrics, having authored 59 papers that have together received 867 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (11 papers), Advanced Bandit Algorithms Research (9 papers), Transportation and Mobility Innovations (7 papers), Auction Theory and Applications (7 papers), Risk and Safety Analysis (6 papers), Optimization and Search Problems (6 papers), Consumer Market Behavior and Pricing (6 papers) and Advanced Queuing Theory Analysis (5 papers). The work is most often cited by research in Management Information Systems (331 citations), Management Science and Operations Research (295 citations), Marketing (192 citations), Strategy and Management (195 citations) and Industrial and Manufacturing Engineering (72 citations). He Wang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include David Simchi‐Levi, Yehua Wei, Wang Chi Cheung, Martin Savelsbergh, Mario V. Wüthrich, James L. Gole, Siva Theja Maguluri, Yining Wang, Jung Won Sonn and Siyuan Shen. Their work appears in journals such as Operations Research, Production and Operations Management, Management Science, Progress in Nuclear Energy and Scandinavian Journal of Psychology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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